Evidence map›Paper›PMID 26472748›Full record

ReviewCold Spring Harbor symposia on quantitative biology2015

HIPMap: A High-Throughput Imaging Method for Mapping Spatial Gene Positions.

Sigal Shachar, Gianluca Pegoraro, Tom Misteli

Open access · diamondAbstract readReview
In one paragraph

Review in Cold Spring Harbor symposia on quantitative biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Machine and Deep Learning Methods for Predicting 3D Genome Organization.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The 3D Genome: From Structure to Function.International journal of molecular sciences · 2021
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Imaging Specific Genomic DNA in Living Cells.Annual review of biophysics · 2016
    Review
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Sigal ShacharNational Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892.
Gianluca PegoraroNational Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892.
Tom MisteliNational Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892.
National Institutes of Health · USNational Cancer Institute · US

Funding

Nuclear Architecture and DiseaseZIABC010309 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MISTELI, THOMAS A · 2009 to 2025
$39.8M
HiTIF Microscopy Core FacilityZICBC011567 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PEGORARO, GIANLUCA · 2014 to 2025
$15.8M
Intramural NIH HHS ZIA BC010309
6 · The paper itself

Abstract

The three-dimensional organization of genes inside the cell nucleus affects their functions including DNA transcription, replication, and repair. A major goal in the field of nuclear architecture is to determine what cellular factors establish and maintain the position of individual genes. Here, we describe HIPMap, a high-throughput imaging and analysis pipeline for the mapping of endogenous gene loci within the 3D space of the nucleus. HIPMap can be used for a variety of applications including screening, mapping translocations, validating chromosome conformation capture data, probing DNA-protein interactions, and interrogation of the relationship of gene expression with localization.

Indexed as

Cell NucleusChromosome MappingChromosomesDNAGene Expression RegulationImaging, Three-DimensionalAnimalsHumansIn Situ Hybridization, FluorescenceDNA

Identifiers

PMID26472748
PMCPMC6317989
OpenAlexW2258346454

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.